Pinned Repositories
1D-CNN-Library
CNN full scratch building
ac-gan
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Accurate-Image-Super-Resolution-Using-Very-Deep-Convolutional-Networks
autoencoder_demo
Autoencoder Demo for Fresh Machine Learning #5
awesome
:sunglasses: Curated list of awesome lists
awesome-deep-learning-papers
The most cited deep learning papers
BSCNN
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density
HSGAN
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks
machine_learning
Python coded examples and documentation of machine learning algorithms.
Super-Resolution.Benckmark
Benchmark and resources for single super-resolution algorithms
DrZhanYing's Repositories
DrZhanYing/machine_learning
Python coded examples and documentation of machine learning algorithms.
DrZhanYing/cnn
This is a matlab-code implementation of convolutional neural network
DrZhanYing/CNNDeepLearningHindiText
1D-CNN (checking utility of yann lecun's paper on hindi dataset) on Hindi News articles
DrZhanYing/Coursera-Machine-Learning
Coursera Machine Learning - Python code
DrZhanYing/coursera-machine-learning-AndrewNg-Python
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
DrZhanYing/dcgan_code
Deep Convolutional Generative Adversarial Networks
DrZhanYing/deep_learning_papers
A place to collect papers that are related to deep learning and computational biology
DrZhanYing/eyescream
natural image generation using ConvNets
DrZhanYing/hed
code for Holistically-Nested Edge Detection
DrZhanYing/hyperspectral_unmixing_project
DrZhanYing/Indian_Pines
HyperSpectral Image Classification
DrZhanYing/matconvnet-fcn
A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation
DrZhanYing/Minimal-Complexity-Machine-Hyperspectral-Band-Selection
DrZhanYing/Mutual-Information
In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables
DrZhanYing/object-detector
Object Detection Framework using HOG as descriptor and Linear SVM as classifier.
DrZhanYing/rcnn
R-CNN: Regions with Convolutional Neural Network Features
DrZhanYing/senior_project_band_selection
DrZhanYing/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
DrZhanYing/svmtutorial
This repository contains code samples from http://www.svm-tutorial.com/
DrZhanYing/Two-Layer-CNN-on-MNIST
DrZhanYing/ufldl_tutorial
Stanford Unsupervised Feature Learning and Deep Learning Tutorial